The Bluebird Blog

When talking to interested people, I often say that computers can make non-emotional decisions with optimization. In my projects, this usually involves planning production, energy generation or transportation. A less commonplace decision is this magical example.

Model-based digital transformation is THE vehicle to move industries to the digital future. This approach is actionable from the start, fosters agile work, and delivers valuable results.

During the summer break, my PhD certificate arrived, testifying the success of my research in the development of mathematical optimization algorithms and software. The occasion made me reflect on the journey I have had and what I would do differently - this is the result.

Mathematical optimization algorithms use tricks that often work for real-world problems. We explore a peculiar similarity to the task of matching socks.

Clever model adjustments enable the use of efficient algorithms. What does an optimal production plan for aluminum production look like?

How does a computer understand the numerous requirements for an optimal production plan for an aluminum production plant? It uses mathematical models! We look behind the scenes...

Optimal production schedules compensate for fluctuations in renewable energy supply and reduce electricity costs, for example, in aluminum production.